By D.D. Zhang
Palmprint Authentication is the 1st booklet to supply a entire advent to palmprint applied sciences. It finds computerized biometric options for private id utilizing palmprint, from the strategy according to offline palmprint pictures, to the present cutting-edge set of rules utilizing on-line palmprint pictures. Palmprint Authentication offers the reader with a simple idea of Palmprint Authentication. it's also an in-depth dialogue of Palmprint Authentication applied sciences, an in depth description of Palmprint Authentication structures, and an updated assurance of the way those matters are constructed. This e-book is appropriate for various degrees of readers: those that are looking to research extra approximately palmprint expertise, and people who desire to comprehend, take part, and/or boost a palmprint authentication process. Palmprint Authentication is successfully a guide for biometric learn and improvement. Graduate scholars and researchers in computing device technology, electric engineering, structures technology, and data know-how will all locate it uniquely invaluable, not just as a reference ebook, but in addition as a textual content publication. Researchers and practitioners in undefined, and R&D laboratories operating within the fields of safety process layout, biometrics, immigration, legislation enforcement, keep an eye on, and development attractiveness also will reap the benefits of this quantity.
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Extra resources for Palmprint Authentication (International Series on Biometrics)
Sample text
E. the image size is 384 × 284 pixels at 75 dpi. Since then‚ we started to collect our second online palmprint database‚ called PolyU-ONLINE-Palmprint-II. From the very beginning‚ we obtained palmprints in 384 × 284 at a resolution of 75 dpi. As our objective was to use low resolution palmprint images for the algorithm design we thought there was no need to use so high a resolution for the palmprint personal identification. e. 768 × 568 at 150 dpi) palmprints may be useful for some special applications such as palm line extraction for palmistry‚ so we changed the system parameter so that all the 32 Chapter 2 palmprints acquired were in 768 × 568 at 150 dpi.
Size – The size is dependent on applications‚ but it should be as small as possible. II. Optical System Requirements Image quality – High quality images must be obtained such that it is possible to perform the subsequent image processing. Real time processing – The response time of the system should be fast enough to provide a development platform for practical applications. The structure of the proposed system is shown in Figure 2-3. There is a user interface for the input of a palm. A set of optical components work together to obtain the data from the palm.
The final version of the device was formed by applying this enhanced flat platen surface along with the best light source (ring fluorescent light)‚ as shown in Figure 2-5 (b). In our proposed palmprint acquisition device‚ we use a 1/2” lens format and a 1/3” CCD sensor format so that lens distortion near its rim is eliminated. The experimental results illustrate that the palmprint images captured using our final acquisition device satisfy the requirements. 3 27 Offline Palmprint Databases When we start the palmprint research‚ we should collect palmprint images to form an offline palmprint database so that different algorithm tests can be performed.